HarvestShield - AI-Powered Graphene Sensor for Early Detection of Berry Spoilage "FreshDetect"

在全球范围内应对气候变化至关重要，改善资源管理的技术可以促进这一努力。最近的COP 26报告强调，需要在十年内将排放量减少一半，到2050年实现净零碳排放，以将全球气温上升保持在1.5摄氏度以下。食物浪费在气候变化中发挥着重要作用，全球30%的温室气体排放来自食品生产，超过所有商业航班的总和。各国政府正在推动企业改善，联合国的可持续发展目标旨在到2030年将食物浪费减半并减少食物损失。问题出在供应链上，30-40%的粮食产量在进入市场之前就损失了（4），导致每年损失16亿吨粮食，价值1.2万亿美元（5）。Altered Carbon的项目重点是开发K9 Sense芯片，这是一种突破性的数字鼻技术，利用改性石墨烯和机器学习（ML），用于各行各业的气体传感应用。主要目标是尽量减少储存中的新鲜食品浪费，这对农业和新鲜食品供应链部门产生了重大影响。该技术在火灾探测、医疗保健和工业监控方面也有潜在的应用。K9 Sense芯片的创新之处在于它能够使用耐用的固态多阵列传感器实时检测各种气味。该项目结合先进的机器学习算法，旨在创建一种适应多种用例的多功能通用传感器，填补自动化和工业物联网应用中便携、智能和可定制的多元传感器的差距。Altered Carbon将进行实验室实验和案例研究，在受控和真实环境中测试芯片及其相关硬件和软件。这一过程将使该公司能够提高K9传感器芯片的性能，完善其设计，并开发一个全自动的基于AI的系统，用于学习和识别新的气味触发器。该项目还涉及建立一个庞大的已知气味和事件库，开发用于气味检测和模式分析的人工智能工具，并创建一个基于云的软件系统，为商业发布做好准备。

Combating climate change globally is vital, and technology for better resource management can contribute to this effort. The recent COP26 report stresses the need to cut emissions by half within a decade and reach net-zero carbon emissions by 2050 to maintain global temperature rise below 1.5 degrees Celsius (1). Food waste plays a significant role in climate change, with 30% of global greenhouse gas emissions coming from food production, surpassing all commercial flights combined (2). Governments are pushing businesses to improve, with the UN's Sustainable Development Goal aiming to halve food waste and reduce food losses by 2030 (3). The problem resides in the supply chain, where 30-40% of food production is lost before reaching the market (4), leading to an annual loss of 1.6 billion tonnes of food worth $1.2 trillion (5).Altered Carbon's project focuses on developing the K9Sense chip, a groundbreaking digital nose technology utilising modified graphene and Machine Learning (ML) for gas-sensing applications across industries. The primary goal is to minimise fresh food waste in storage, significantly impacting the agricultural and fresh food supply chain sectors. The technology also has potential applications in fire detection, healthcare, and industrial monitoring.The K9Sense chip's innovation comes from its ability to detect various scents in real-time using a durable, solid-state multi-array sensor. Paired with advanced ML algorithms, the project aims to create a versatile, general-purpose sensor adaptable to multiple use cases, filling the gap in portable, intelligent, and customisable multi-element sensors for automation and industrial IoT applications.Altered Carbon will conduct lab experiments and case studies to test the chip and its associated hardware and software in controlled and real-world settings. This process will enable the company to enhance the K9 sensor chip's performance, refine its design, and develop a fully automated AI-based system for learning and identifying new scent triggers. The project also involves building a vast library of known scents and events, developing AI tools for scent detection and pattern analysis, and creating a cloud-based software system ready for commercial launch.